Decision Support Tool-Supply Chain

Wartha, Christian; Peev, Momtchil; Borshchev, Andrei; Filippov, A. A.

doi:10.1109/wsc.2002.1166391

Cited by 10 publications

(8 citation statements)

References 3 publications

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“…In [ 24 ], the authors used SM technique to develop a decision support system to model manufacturing systems and to evaluate design alternatives. Wartha et al in [ 25 ] developed a specialized and domain oriented decision support tool “DST-SC” that is easy to be used by nonexperts in simulation. DST-SC is also featured by its high degree of flexibility in modeling SC functions and its ability to handle large complex problems.…”

Section: Background and Related Workmentioning

confidence: 99%

Simulation and Modeling Efforts to Support Decision Making in Healthcare Supply Chain Management

AbuKhousa

Al-Jaroodi

Lazarova-Molnar

et al. 2014

The Scientific World Journal

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Recently, most healthcare organizations focus their attention on reducing the cost of their supply chain management (SCM) by improving the decision making pertaining processes' efficiencies. The availability of products through healthcare SCM is often a matter of life or death to the patient; therefore, trial and error approaches are not an option in this environment. Simulation and modeling (SM) has been presented as an alternative approach for supply chain managers in healthcare organizations to test solutions and to support decision making processes associated with various SCM problems. This paper presents and analyzes past SM efforts to support decision making in healthcare SCM and identifies the key challenges associated with healthcare SCM modeling. We also present and discuss emerging technologies to meet these challenges.

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Section: Background and Related Workmentioning

confidence: 99%

Simulation and Modeling Efforts to Support Decision Making in Healthcare Supply Chain Management

AbuKhousa

Al-Jaroodi

Lazarova-Molnar

et al. 2014

The Scientific World Journal

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“…In addition to Java applets, the Professional version allows for the creation of Java runtime applications, which can be distributed to users. These pure Java applications can be a base for decision support tools (Wartha et al, 2002).…”

Section: Experiments Test Bedmentioning

confidence: 99%

An adaptive clustering algorithm for road abnormal region analysis

Han

Zeng

Liu

et al. 2013

Transactions of the Institute of Measurement and Control

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Building effective vehicular cyber-physical systems to improve road safety is a non-trivial challenge. The abnormal region of road –‘road abnormal region’– is one of the main reasons for traffic congestion and thus should be taken into account in order to inform the design of a road monitoring mechanism and navigation service. The characteristics of the abnormal region (AR) are investigated in this paper and an evaluation criterion is suggested. AnyLogic 6.0 (Education) is the platform used to simulate the generation of AR and its changing procedure, which provides justification for the proposed algorithm.

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“…Piecewise linear profiles of Evaporation (Evaporation (t)) and precipitation (Precipitation (t)) are added to the calculations of V GL [13][14][15][16][17]. The different equations were implemented in AnyLogic [7,[18][19][20]. AnyLogic provides a set of numerical methods for solving differential equations, algebraic-differential equations, or algebraic equations.…”

Section: Lockmentioning

confidence: 99%

Preliminary Hybrid Modeling of the Panama Canal: Operations and Salinity Diffusion

Rabelo

Marin

Xanthopoulos

et al. 2012

Modelling and Simulation in Engineering

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This paper deals with the initial modeling of water salinity and its diffusion into the lakes during lock operation on the Panama Canal. A hybrid operational model was implemented using the AnyLogic software simulation environment. This was accomplished by generating an operational discrete-event simulation model and a continuous simulation model based on differential equations, which modeled the salinity diffusion in the lakes. This paper presents that unique application and includes the effective integration of lock operations and its impact on the environment.

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Decision Support Tool-Supply Chain

Cited by 10 publications

References 3 publications

Simulation and Modeling Efforts to Support Decision Making in Healthcare Supply Chain Management

Simulation and Modeling Efforts to Support Decision Making in Healthcare Supply Chain Management

An adaptive clustering algorithm for road abnormal region analysis

Preliminary Hybrid Modeling of the Panama Canal: Operations and Salinity Diffusion

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